2. The continuous random variables X and Y have known joint probability density function f(x,y) given by fw(x, y) = {(x+y)/8 0≤x≤ 2,0 ≤ys 2 0 otherwise. Define the random variable z as Z = min(X,Y). a) Determine the probability density function (²) 7 f₂(z) of the random variable Z. b) Determine the probability

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Chapter1: Combinatorial Analysis
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**Problem 2: Joint Probability Density Function**

The continuous random variables \(X\) and \(Y\) have a known joint probability density function, \(f_{XY}(x,y)\), given by

\[
f_{XY}(x,y) = 
\begin{cases} 
\frac{(x+y)}{8} & \text{for } 0 \leq x \leq 2, 0 \leq y \leq 2 \\
0 & \text{otherwise} 
\end{cases}
\]

Define the random variable \(Z\) as \(Z = \min(X, Y)\).

Tasks:
a) Determine the probability density function \(f_Z(z)\) of the random variable \(Z\).

b) Determine the probability \(\Pr\{0.5 < Z \leq 1.5\}\).

c) Determine \(E\{Z\}\) and \(\text{var}\{Z\}\).
Transcribed Image Text:**Problem 2: Joint Probability Density Function** The continuous random variables \(X\) and \(Y\) have a known joint probability density function, \(f_{XY}(x,y)\), given by \[ f_{XY}(x,y) = \begin{cases} \frac{(x+y)}{8} & \text{for } 0 \leq x \leq 2, 0 \leq y \leq 2 \\ 0 & \text{otherwise} \end{cases} \] Define the random variable \(Z\) as \(Z = \min(X, Y)\). Tasks: a) Determine the probability density function \(f_Z(z)\) of the random variable \(Z\). b) Determine the probability \(\Pr\{0.5 < Z \leq 1.5\}\). c) Determine \(E\{Z\}\) and \(\text{var}\{Z\}\).
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